| AI Engine-ML Intrinsics User Guide (v2025.2)

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Vector Data Types

## Overview

Vector data-types pack multiple scalar data elements into a wider vector. There are vector data-types with standard sized elements (4-bit, 8-bit, 16-bit, 32-bit).

The general naming convention for these data-types is shown below.

        v{NumLanes}[cu]int{SizeofElement}
        v{NumLanes}bfloat16

Disambiguation :

- 'int' denotes integer fixed-point registers.
- 'bfloat16' denotes brain-float (1b sign, 8b exponent, 7b mantissa).
- 'accfloat' denotes single precision floating point values (1b sign, 8b exponent, 23b exponent). (Note : bfloat16 operations use the accfloat format as accumulator registers)
- 'u' denotes unsigned
- 'c' denotes complex

For example, `v32uint4`, `v16int8`, `v8int16`, `v128int4`, `v32bfloat16`

The total data-width of the vector data-types can be 64-bits, 128-bits, 256-bits, 512-bits, or 1024-bits.

Note
  Vector data-types are stored in different sets of registers within the processor core. Large vectors (>256-bits) occupy more than one physical register. Register spills will reduce performance when more than one large register is 'live'.

Supported vector types and sizes
Scalar type | Supported vector lanes
--- | ---
int4/uint4 | 32/64/128/256
int8/uint8 | 16/32/64/128
int16/uint16 | 8/16/32/64
int32/uint32 | 4/8/16/32
cint16 | 2/4/8/16/32
cint32 | 2/4/8/16
bfloat16 | 8/16/32/64
cbfloat16 | 4/8/16/32
float | 4/8/16/32
cfloat | 2/4/8/16

## Topics
| Complex Vector Types
| Compressed Complex Vector Types
| Compressed Floating-Point Vector Types
| Compressed Integer Vector Types
| Compressed Sparse Vector Types
| Floating-Point Vector Types
| Integer Vector Types
| Sparse Vector Types